Overview

Dataset statistics

Number of variables31
Number of observations212
Missing cells0
Missing cells (%)0.0%
Duplicate rows3
Duplicate rows (%)1.4%
Total size in memory51.5 KiB
Average record size in memory248.6 B

Variable types

Numeric26
Categorical4
DateTime1

Alerts

Dataset has 3 (1.4%) duplicate rowsDuplicates
total is highly correlated with tweeter and 7 other fieldsHigh correlation
tweeter is highly correlated with total and 5 other fieldsHigh correlation
blog is highly correlated with total and 6 other fieldsHigh correlation
community is highly correlated with total and 9 other fieldsHigh correlation
instagram is highly correlated with total and 4 other fieldsHigh correlation
p_10 is highly correlated with n_10High correlation
n_10 is highly correlated with p_10High correlation
p_23 is highly correlated with n_23 and 1 other fieldsHigh correlation
n_23 is highly correlated with p_23 and 1 other fieldsHigh correlation
p_34 is highly correlated with blog and 4 other fieldsHigh correlation
n_34 is highly correlated with total and 5 other fieldsHigh correlation
p_m is highly correlated with community and 3 other fieldsHigh correlation
n_m is highly correlated with community and 3 other fieldsHigh correlation
p_f is highly correlated with p_23 and 1 other fieldsHigh correlation
n_f is highly correlated with total and 2 other fieldsHigh correlation
youtube_num is highly correlated with youtube_view and 4 other fieldsHigh correlation
youtube_view is highly correlated with youtube_num and 4 other fieldsHigh correlation
youtube_like is highly correlated with youtube_num and 4 other fieldsHigh correlation
youtube_comment is highly correlated with youtube_num and 4 other fieldsHigh correlation
youtube_p is highly correlated with youtube_num and 4 other fieldsHigh correlation
youtube_n is highly correlated with youtube_num and 4 other fieldsHigh correlation
amount is highly correlated with total and 5 other fieldsHigh correlation
volume is highly correlated with total and 5 other fieldsHigh correlation
total is highly correlated with tweeter and 5 other fieldsHigh correlation
tweeter is highly correlated with totalHigh correlation
blog is highly correlated with total and 4 other fieldsHigh correlation
community is highly correlated with total and 5 other fieldsHigh correlation
instagram is highly correlated with total and 1 other fieldsHigh correlation
n_10 is highly correlated with n_fHigh correlation
p_23 is highly correlated with n_23 and 1 other fieldsHigh correlation
n_23 is highly correlated with p_23High correlation
p_34 is highly correlated with blog and 4 other fieldsHigh correlation
n_34 is highly correlated with community and 3 other fieldsHigh correlation
p_45 is highly correlated with n_45High correlation
n_45 is highly correlated with p_45High correlation
p_m is highly correlated with p_34 and 2 other fieldsHigh correlation
n_m is highly correlated with n_34 and 1 other fieldsHigh correlation
p_f is highly correlated with p_23 and 2 other fieldsHigh correlation
n_f is highly correlated with n_10 and 1 other fieldsHigh correlation
youtube_num is highly correlated with youtube_pHigh correlation
youtube_like is highly correlated with youtube_p and 1 other fieldsHigh correlation
youtube_comment is highly correlated with youtube_p and 1 other fieldsHigh correlation
youtube_p is highly correlated with youtube_num and 3 other fieldsHigh correlation
youtube_n is highly correlated with youtube_like and 2 other fieldsHigh correlation
amount is highly correlated with total and 3 other fieldsHigh correlation
volume is highly correlated with total and 4 other fieldsHigh correlation
total is highly correlated with tweeter and 5 other fieldsHigh correlation
tweeter is highly correlated with totalHigh correlation
blog is highly correlated with total and 3 other fieldsHigh correlation
community is highly correlated with total and 4 other fieldsHigh correlation
instagram is highly correlated with totalHigh correlation
p_10 is highly correlated with n_10High correlation
n_10 is highly correlated with p_10High correlation
p_23 is highly correlated with n_23High correlation
n_23 is highly correlated with p_23High correlation
p_34 is highly correlated with community and 2 other fieldsHigh correlation
n_34 is highly correlated with p_34 and 1 other fieldsHigh correlation
p_m is highly correlated with p_34 and 1 other fieldsHigh correlation
n_m is highly correlated with n_34 and 1 other fieldsHigh correlation
p_f is highly correlated with n_fHigh correlation
n_f is highly correlated with p_fHigh correlation
youtube_num is highly correlated with youtube_view and 4 other fieldsHigh correlation
youtube_view is highly correlated with youtube_num and 4 other fieldsHigh correlation
youtube_like is highly correlated with youtube_num and 4 other fieldsHigh correlation
youtube_comment is highly correlated with youtube_num and 4 other fieldsHigh correlation
youtube_p is highly correlated with youtube_num and 4 other fieldsHigh correlation
youtube_n is highly correlated with youtube_num and 4 other fieldsHigh correlation
amount is highly correlated with total and 3 other fieldsHigh correlation
volume is highly correlated with total and 3 other fieldsHigh correlation
df_index is highly correlated with date and 6 other fieldsHigh correlation
product is highly correlated with total and 6 other fieldsHigh correlation
date is highly correlated with df_index and 15 other fieldsHigh correlation
total is highly correlated with df_index and 19 other fieldsHigh correlation
tweeter is highly correlated with date and 4 other fieldsHigh correlation
blog is highly correlated with df_index and 15 other fieldsHigh correlation
community is highly correlated with df_index and 19 other fieldsHigh correlation
instagram is highly correlated with product and 15 other fieldsHigh correlation
news is highly correlated with df_index and 2 other fieldsHigh correlation
p_10 is highly correlated with total and 9 other fieldsHigh correlation
n_10 is highly correlated with blog and 7 other fieldsHigh correlation
p_23 is highly correlated with date and 16 other fieldsHigh correlation
n_23 is highly correlated with blog and 12 other fieldsHigh correlation
p_34 is highly correlated with date and 11 other fieldsHigh correlation
n_34 is highly correlated with date and 16 other fieldsHigh correlation
p_45 is highly correlated with total and 7 other fieldsHigh correlation
n_45 is highly correlated with community and 10 other fieldsHigh correlation
p_60 is highly correlated with p_23 and 5 other fieldsHigh correlation
n_60 is highly correlated with p_23 and 4 other fieldsHigh correlation
p_m is highly correlated with date and 10 other fieldsHigh correlation
n_m is highly correlated with date and 17 other fieldsHigh correlation
p_f is highly correlated with total and 13 other fieldsHigh correlation
n_f is highly correlated with total and 9 other fieldsHigh correlation
youtube_num is highly correlated with product and 10 other fieldsHigh correlation
youtube_view is highly correlated with total and 14 other fieldsHigh correlation
youtube_like is highly correlated with date and 11 other fieldsHigh correlation
youtube_comment is highly correlated with date and 12 other fieldsHigh correlation
youtube_p is highly correlated with date and 11 other fieldsHigh correlation
youtube_n is highly correlated with date and 13 other fieldsHigh correlation
amount is highly correlated with df_index and 15 other fieldsHigh correlation
volume is highly correlated with df_index and 10 other fieldsHigh correlation
df_index is uniformly distributed Uniform
df_index has 4 (1.9%) zeros Zeros
total has 15 (7.1%) zeros Zeros
tweeter has 20 (9.4%) zeros Zeros
blog has 17 (8.0%) zeros Zeros
community has 26 (12.3%) zeros Zeros
instagram has 26 (12.3%) zeros Zeros
news has 70 (33.0%) zeros Zeros
n_10 has 198 (93.4%) zeros Zeros
p_23 has 144 (67.9%) zeros Zeros
n_23 has 167 (78.8%) zeros Zeros
p_34 has 71 (33.5%) zeros Zeros
n_34 has 99 (46.7%) zeros Zeros
p_45 has 182 (85.8%) zeros Zeros
n_45 has 188 (88.7%) zeros Zeros
p_m has 76 (35.8%) zeros Zeros
n_m has 98 (46.2%) zeros Zeros
p_f has 131 (61.8%) zeros Zeros
n_f has 150 (70.8%) zeros Zeros
youtube_num has 142 (67.0%) zeros Zeros
youtube_view has 163 (76.9%) zeros Zeros
youtube_like has 166 (78.3%) zeros Zeros
youtube_comment has 149 (70.3%) zeros Zeros
youtube_p has 156 (73.6%) zeros Zeros
youtube_n has 164 (77.4%) zeros Zeros
amount has 27 (12.7%) zeros Zeros
volume has 27 (12.7%) zeros Zeros

Reproduction

Analysis started2022-05-10 10:47:30.652828
Analysis finished2022-05-10 10:48:31.267814
Duration1 minute and 0.61 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

df_index
Real number (ℝ≥0)

HIGH CORRELATION
UNIFORM
ZEROS

Distinct53
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum0
Maximum52
Zeros4
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:31.358817image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q113
median26
Q339
95-th percentile50
Maximum52
Range52
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.33326465
Coefficient of variation (CV)0.589740948
Kurtosis-1.200820525
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum5512
Variance235.1090047
MonotonicityNot monotonic
2022-05-10T19:48:31.470815image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04
 
1.9%
274
 
1.9%
294
 
1.9%
304
 
1.9%
314
 
1.9%
324
 
1.9%
334
 
1.9%
344
 
1.9%
354
 
1.9%
364
 
1.9%
Other values (43)172
81.1%
ValueCountFrequency (%)
04
1.9%
14
1.9%
24
1.9%
34
1.9%
44
1.9%
54
1.9%
64
1.9%
74
1.9%
84
1.9%
94
1.9%
ValueCountFrequency (%)
524
1.9%
514
1.9%
504
1.9%
494
1.9%
484
1.9%
474
1.9%
464
1.9%
454
1.9%
444
1.9%
434
1.9%

product
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
벤포벨
106 
아로나민골드
53 
비맥스메타
53 

Length

Max length6
Median length4
Mean length4.25
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아로나민골드
2nd row아로나민골드
3rd row아로나민골드
4th row아로나민골드
5th row아로나민골드

Common Values

ValueCountFrequency (%)
벤포벨106
50.0%
아로나민골드53
25.0%
비맥스메타53
25.0%

Length

2022-05-10T19:48:31.569816image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-10T19:48:31.625640image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
벤포벨106
50.0%
아로나민골드53
25.0%
비맥스메타53
25.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

date
Date

HIGH CORRELATION

Distinct53
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2018-01-01 00:00:00
Maximum2022-05-01 00:00:00
2022-05-10T19:48:31.836370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:31.938370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

total
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct99
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.73584906
Minimum0
Maximum382
Zeros15
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:32.047371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q132
median60
Q3111.25
95-th percentile216.2
Maximum382
Range382
Interquartile range (IQR)79.25

Descriptive statistics

Standard deviation71.3032775
Coefficient of variation (CV)0.8723623516
Kurtosis3.171832397
Mean81.73584906
Median Absolute Deviation (MAD)35
Skewness1.609060142
Sum17328
Variance5084.157382
MonotonicityNot monotonic
2022-05-10T19:48:32.150371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
015
 
7.1%
248
 
3.8%
527
 
3.3%
326
 
2.8%
626
 
2.8%
216
 
2.8%
905
 
2.4%
585
 
2.4%
444
 
1.9%
354
 
1.9%
Other values (89)146
68.9%
ValueCountFrequency (%)
015
7.1%
73
 
1.4%
132
 
0.9%
162
 
0.9%
216
 
2.8%
234
 
1.9%
248
3.8%
262
 
0.9%
272
 
0.9%
282
 
0.9%
ValueCountFrequency (%)
3822
0.9%
3181
0.5%
3061
0.5%
2951
0.5%
2921
0.5%
2701
0.5%
2491
0.5%
2321
0.5%
2311
0.5%
2251
0.5%

tweeter
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct39
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.18396226
Minimum0
Maximum346
Zeros20
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:32.248371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q313
95-th percentile35.45
Maximum346
Range346
Interquartile range (IQR)11

Descriptive statistics

Standard deviation35.42710462
Coefficient of variation (CV)2.687136379
Kurtosis73.26449797
Mean13.18396226
Median Absolute Deviation (MAD)4
Skewness8.08621762
Sum2795
Variance1255.079742
MonotonicityNot monotonic
2022-05-10T19:48:32.339370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
226
12.3%
324
 
11.3%
020
 
9.4%
418
 
8.5%
117
 
8.0%
512
 
5.7%
69
 
4.2%
79
 
4.2%
198
 
3.8%
107
 
3.3%
Other values (29)62
29.2%
ValueCountFrequency (%)
020
9.4%
117
8.0%
226
12.3%
324
11.3%
418
8.5%
512
5.7%
69
 
4.2%
79
 
4.2%
86
 
2.8%
95
 
2.4%
ValueCountFrequency (%)
3462
0.9%
1021
0.5%
821
0.5%
791
0.5%
531
0.5%
491
0.5%
431
0.5%
401
0.5%
391
0.5%
361
0.5%

blog
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct50
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.19339623
Minimum0
Maximum99
Zeros17
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:32.442371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.75
median19
Q330
95-th percentile46.45
Maximum99
Range99
Interquartile range (IQR)20.25

Descriptive statistics

Standard deviation15.3201337
Coefficient of variation (CV)0.7228729899
Kurtosis2.569560562
Mean21.19339623
Median Absolute Deviation (MAD)10
Skewness1.089078426
Sum4493
Variance234.7064965
MonotonicityNot monotonic
2022-05-10T19:48:32.546371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017
 
8.0%
2111
 
5.2%
810
 
4.7%
128
 
3.8%
168
 
3.8%
158
 
3.8%
258
 
3.8%
277
 
3.3%
147
 
3.3%
57
 
3.3%
Other values (40)121
57.1%
ValueCountFrequency (%)
017
8.0%
11
 
0.5%
34
 
1.9%
43
 
1.4%
57
3.3%
66
 
2.8%
810
4.7%
95
 
2.4%
104
 
1.9%
114
 
1.9%
ValueCountFrequency (%)
991
 
0.5%
701
 
0.5%
631
 
0.5%
581
 
0.5%
551
 
0.5%
531
 
0.5%
513
1.4%
491
 
0.5%
471
 
0.5%
463
1.4%

community
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct62
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.48584906
Minimum0
Maximum109
Zeros26
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:32.655374image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median14.5
Q331.25
95-th percentile67
Maximum109
Range109
Interquartile range (IQR)26.25

Descriptive statistics

Standard deviation22.35929756
Coefficient of variation (CV)1.040652268
Kurtosis1.89851894
Mean21.48584906
Median Absolute Deviation (MAD)12.5
Skewness1.464513941
Sum4555
Variance499.9381874
MonotonicityNot monotonic
2022-05-10T19:48:32.757372image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
026
 
12.3%
112
 
5.7%
812
 
5.7%
1211
 
5.2%
68
 
3.8%
27
 
3.3%
167
 
3.3%
157
 
3.3%
186
 
2.8%
116
 
2.8%
Other values (52)110
51.9%
ValueCountFrequency (%)
026
12.3%
112
5.7%
27
 
3.3%
45
 
2.4%
54
 
1.9%
68
 
3.8%
73
 
1.4%
812
5.7%
104
 
1.9%
116
 
2.8%
ValueCountFrequency (%)
1091
0.5%
971
0.5%
921
0.5%
901
0.5%
891
0.5%
791
0.5%
772
0.9%
741
0.5%
681
0.5%
672
0.9%

instagram
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct61
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.81132075
Minimum0
Maximum175
Zeros26
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:32.854371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median8.5
Q328
95-th percentile94.05
Maximum175
Range175
Interquartile range (IQR)25

Descriptive statistics

Standard deviation31.45541137
Coefficient of variation (CV)1.442159864
Kurtosis5.332772548
Mean21.81132075
Median Absolute Deviation (MAD)7.5
Skewness2.304000993
Sum4624
Variance989.4429044
MonotonicityNot monotonic
2022-05-10T19:48:32.952370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
026
 
12.3%
215
 
7.1%
312
 
5.7%
511
 
5.2%
811
 
5.2%
19
 
4.2%
119
 
4.2%
198
 
3.8%
48
 
3.8%
77
 
3.3%
Other values (51)96
45.3%
ValueCountFrequency (%)
026
12.3%
19
 
4.2%
215
7.1%
312
5.7%
48
 
3.8%
511
5.2%
67
 
3.3%
77
 
3.3%
811
5.2%
96
 
2.8%
ValueCountFrequency (%)
1751
0.5%
1311
0.5%
1301
0.5%
1281
0.5%
1271
0.5%
1192
0.9%
1171
0.5%
1161
0.5%
1141
0.5%
991
0.5%

news
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct19
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.858490566
Minimum0
Maximum19
Zeros70
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:33.044370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile12.45
Maximum19
Range19
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.54766995
Coefficient of variation (CV)1.178613728
Kurtosis0.3689158735
Mean3.858490566
Median Absolute Deviation (MAD)2
Skewness1.141188345
Sum818
Variance20.68130198
MonotonicityNot monotonic
2022-05-10T19:48:33.122370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
070
33.0%
134
16.0%
520
 
9.4%
213
 
6.1%
1011
 
5.2%
49
 
4.2%
38
 
3.8%
78
 
3.8%
128
 
3.8%
117
 
3.3%
Other values (9)24
 
11.3%
ValueCountFrequency (%)
070
33.0%
134
16.0%
213
 
6.1%
38
 
3.8%
49
 
4.2%
520
 
9.4%
66
 
2.8%
78
 
3.8%
86
 
2.8%
91
 
0.5%
ValueCountFrequency (%)
191
 
0.5%
181
 
0.5%
162
 
0.9%
152
 
0.9%
142
 
0.9%
133
 
1.4%
128
3.8%
117
3.3%
1011
5.2%
91
 
0.5%

p_10
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
197 
1
 
10
2
 
3
3
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row0
2nd row0
3rd row2
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0197
92.9%
110
 
4.7%
23
 
1.4%
31
 
0.5%
51
 
0.5%

Length

2022-05-10T19:48:33.205371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-10T19:48:33.258371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0197
92.9%
110
 
4.7%
23
 
1.4%
31
 
0.5%
51
 
0.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

n_10
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1745283019
Minimum0
Maximum7
Zeros198
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:33.414371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7805164557
Coefficient of variation (CV)4.472148341
Kurtosis36.19784264
Mean0.1745283019
Median Absolute Deviation (MAD)0
Skewness5.600254725
Sum37
Variance0.6092059376
MonotonicityNot monotonic
2022-05-10T19:48:33.479371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0198
93.4%
24
 
1.9%
14
 
1.9%
43
 
1.4%
32
 
0.9%
71
 
0.5%
ValueCountFrequency (%)
0198
93.4%
14
 
1.9%
24
 
1.9%
32
 
0.9%
43
 
1.4%
71
 
0.5%
ValueCountFrequency (%)
71
 
0.5%
43
 
1.4%
32
 
0.9%
24
 
1.9%
14
 
1.9%
0198
93.4%

p_23
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct18
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.636792453
Minimum0
Maximum32
Zeros144
Zeros (%)67.9%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:33.556371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum32
Range32
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.360004032
Coefficient of variation (CV)2.663748861
Kurtosis24.98098946
Mean1.636792453
Median Absolute Deviation (MAD)0
Skewness4.59730049
Sum347
Variance19.00963516
MonotonicityNot monotonic
2022-05-10T19:48:33.632491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0144
67.9%
118
 
8.5%
214
 
6.6%
310
 
4.7%
56
 
2.8%
64
 
1.9%
84
 
1.9%
42
 
0.9%
101
 
0.5%
311
 
0.5%
Other values (8)8
 
3.8%
ValueCountFrequency (%)
0144
67.9%
118
 
8.5%
214
 
6.6%
310
 
4.7%
42
 
0.9%
56
 
2.8%
64
 
1.9%
71
 
0.5%
84
 
1.9%
101
 
0.5%
ValueCountFrequency (%)
321
 
0.5%
311
 
0.5%
251
 
0.5%
181
 
0.5%
171
 
0.5%
141
 
0.5%
121
 
0.5%
111
 
0.5%
101
 
0.5%
84
1.9%

n_23
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct12
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9811320755
Minimum0
Maximum22
Zeros167
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:33.710492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.814926807
Coefficient of variation (CV)2.869060015
Kurtosis29.28434677
Mean0.9811320755
Median Absolute Deviation (MAD)0
Skewness4.875354662
Sum208
Variance7.92381293
MonotonicityNot monotonic
2022-05-10T19:48:33.778491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0167
78.8%
310
 
4.7%
28
 
3.8%
47
 
3.3%
16
 
2.8%
64
 
1.9%
54
 
1.9%
72
 
0.9%
151
 
0.5%
221
 
0.5%
Other values (2)2
 
0.9%
ValueCountFrequency (%)
0167
78.8%
16
 
2.8%
28
 
3.8%
310
 
4.7%
47
 
3.3%
54
 
1.9%
64
 
1.9%
72
 
0.9%
121
 
0.5%
151
 
0.5%
ValueCountFrequency (%)
221
 
0.5%
211
 
0.5%
151
 
0.5%
121
 
0.5%
72
 
0.9%
64
 
1.9%
54
 
1.9%
47
3.3%
310
4.7%
28
3.8%

p_34
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct44
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.21226415
Minimum0
Maximum116
Zeros71
Zeros (%)33.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:33.860491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.5
Q316
95-th percentile44.45
Maximum116
Range116
Interquartile range (IQR)16

Descriptive statistics

Standard deviation15.88636306
Coefficient of variation (CV)1.416873778
Kurtosis9.94503362
Mean11.21226415
Median Absolute Deviation (MAD)5.5
Skewness2.582515713
Sum2377
Variance252.3765313
MonotonicityNot monotonic
2022-05-10T19:48:33.958493image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
071
33.5%
511
 
5.2%
611
 
5.2%
27
 
3.3%
17
 
3.3%
147
 
3.3%
47
 
3.3%
126
 
2.8%
85
 
2.4%
135
 
2.4%
Other values (34)75
35.4%
ValueCountFrequency (%)
071
33.5%
17
 
3.3%
27
 
3.3%
33
 
1.4%
47
 
3.3%
511
 
5.2%
611
 
5.2%
74
 
1.9%
85
 
2.4%
94
 
1.9%
ValueCountFrequency (%)
1161
0.5%
691
0.5%
641
0.5%
562
0.9%
542
0.9%
511
0.5%
491
0.5%
461
0.5%
451
0.5%
442
0.9%

n_34
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct23
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.966981132
Minimum0
Maximum32
Zeros99
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:34.047491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile16.45
Maximum32
Range32
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.758475669
Coefficient of variation (CV)1.451601477
Kurtosis3.290287128
Mean3.966981132
Median Absolute Deviation (MAD)1
Skewness1.765747564
Sum841
Variance33.16004203
MonotonicityNot monotonic
2022-05-10T19:48:34.127491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
099
46.7%
219
 
9.0%
114
 
6.6%
511
 
5.2%
119
 
4.2%
87
 
3.3%
97
 
3.3%
77
 
3.3%
36
 
2.8%
45
 
2.4%
Other values (13)28
 
13.2%
ValueCountFrequency (%)
099
46.7%
114
 
6.6%
219
 
9.0%
36
 
2.8%
45
 
2.4%
511
 
5.2%
62
 
0.9%
77
 
3.3%
87
 
3.3%
97
 
3.3%
ValueCountFrequency (%)
321
 
0.5%
251
 
0.5%
212
0.9%
201
 
0.5%
183
1.4%
173
1.4%
161
 
0.5%
153
1.4%
143
1.4%
132
0.9%

p_45
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct8
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4056603774
Minimum0
Maximum24
Zeros182
Zeros (%)85.8%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:34.198491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8690713
Coefficient of variation (CV)4.607478088
Kurtosis122.4551534
Mean0.4056603774
Median Absolute Deviation (MAD)0
Skewness10.12720329
Sum86
Variance3.493427524
MonotonicityNot monotonic
2022-05-10T19:48:34.270491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0182
85.8%
211
 
5.2%
111
 
5.2%
34
 
1.9%
41
 
0.5%
81
 
0.5%
241
 
0.5%
51
 
0.5%
ValueCountFrequency (%)
0182
85.8%
111
 
5.2%
211
 
5.2%
34
 
1.9%
41
 
0.5%
51
 
0.5%
81
 
0.5%
241
 
0.5%
ValueCountFrequency (%)
241
 
0.5%
81
 
0.5%
51
 
0.5%
41
 
0.5%
34
 
1.9%
211
 
5.2%
111
 
5.2%
0182
85.8%

n_45
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2075471698
Minimum0
Maximum7
Zeros188
Zeros (%)88.7%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:34.337491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7754158784
Coefficient of variation (CV)3.736094687
Kurtosis42.72459925
Mean0.2075471698
Median Absolute Deviation (MAD)0
Skewness5.901766709
Sum44
Variance0.6012697845
MonotonicityNot monotonic
2022-05-10T19:48:34.405491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0188
88.7%
114
 
6.6%
27
 
3.3%
71
 
0.5%
31
 
0.5%
61
 
0.5%
ValueCountFrequency (%)
0188
88.7%
114
 
6.6%
27
 
3.3%
31
 
0.5%
61
 
0.5%
71
 
0.5%
ValueCountFrequency (%)
71
 
0.5%
61
 
0.5%
31
 
0.5%
27
 
3.3%
114
 
6.6%
0188
88.7%

p_60
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
209 
1
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0209
98.6%
12
 
0.9%
21
 
0.5%

Length

2022-05-10T19:48:34.484491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-10T19:48:34.534491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0209
98.6%
12
 
0.9%
21
 
0.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

n_60
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
208 
2
 
2
1
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0208
98.1%
22
 
0.9%
11
 
0.5%
31
 
0.5%

Length

2022-05-10T19:48:34.589491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-10T19:48:34.641492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0208
98.1%
22
 
0.9%
11
 
0.5%
31
 
0.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

p_m
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct36
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.971698113
Minimum0
Maximum82
Zeros76
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:34.704491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q313
95-th percentile32.45
Maximum82
Range82
Interquartile range (IQR)13

Descriptive statistics

Standard deviation12.01101986
Coefficient of variation (CV)1.338767723
Kurtosis7.296107973
Mean8.971698113
Median Absolute Deviation (MAD)5
Skewness2.226626679
Sum1902
Variance144.2645981
MonotonicityNot monotonic
2022-05-10T19:48:34.788339image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
076
35.8%
514
 
6.6%
1211
 
5.2%
49
 
4.2%
29
 
4.2%
68
 
3.8%
107
 
3.3%
176
 
2.8%
146
 
2.8%
225
 
2.4%
Other values (26)61
28.8%
ValueCountFrequency (%)
076
35.8%
15
 
2.4%
29
 
4.2%
32
 
0.9%
49
 
4.2%
514
 
6.6%
68
 
3.8%
74
 
1.9%
85
 
2.4%
93
 
1.4%
ValueCountFrequency (%)
821
0.5%
521
0.5%
481
0.5%
461
0.5%
442
0.9%
391
0.5%
371
0.5%
351
0.5%
332
0.9%
322
0.9%

n_m
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct21
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.481132075
Minimum0
Maximum26
Zeros98
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:34.864340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile13.45
Maximum26
Range26
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.055579494
Coefficient of variation (CV)1.452280288
Kurtosis3.047100242
Mean3.481132075
Median Absolute Deviation (MAD)1
Skewness1.78435212
Sum738
Variance25.55888402
MonotonicityNot monotonic
2022-05-10T19:48:34.943340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
098
46.2%
218
 
8.5%
115
 
7.1%
312
 
5.7%
610
 
4.7%
49
 
4.2%
98
 
3.8%
56
 
2.8%
85
 
2.4%
135
 
2.4%
Other values (11)26
 
12.3%
ValueCountFrequency (%)
098
46.2%
115
 
7.1%
218
 
8.5%
312
 
5.7%
49
 
4.2%
56
 
2.8%
610
 
4.7%
75
 
2.4%
85
 
2.4%
98
 
3.8%
ValueCountFrequency (%)
261
 
0.5%
211
 
0.5%
203
1.4%
171
 
0.5%
163
1.4%
151
 
0.5%
141
 
0.5%
135
2.4%
124
1.9%
114
1.9%

p_f
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct16
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.566037736
Minimum0
Maximum49
Zeros131
Zeros (%)61.8%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:35.120340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum49
Range49
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.385497141
Coefficient of variation (CV)2.800377692
Kurtosis66.59528527
Mean1.566037736
Median Absolute Deviation (MAD)0
Skewness6.986101384
Sum332
Variance19.23258517
MonotonicityNot monotonic
2022-05-10T19:48:35.196339image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0131
61.8%
130
 
14.2%
217
 
8.0%
312
 
5.7%
54
 
1.9%
43
 
1.4%
62
 
0.9%
82
 
0.9%
162
 
0.9%
122
 
0.9%
Other values (6)7
 
3.3%
ValueCountFrequency (%)
0131
61.8%
130
 
14.2%
217
 
8.0%
312
 
5.7%
43
 
1.4%
54
 
1.9%
62
 
0.9%
71
 
0.5%
82
 
0.9%
91
 
0.5%
ValueCountFrequency (%)
491
0.5%
181
0.5%
162
0.9%
131
0.5%
122
0.9%
102
0.9%
91
0.5%
82
0.9%
71
0.5%
62
0.9%

n_f
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct10
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9433962264
Minimum0
Maximum16
Zeros150
Zeros (%)70.8%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:35.266340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.45
Maximum16
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.394029654
Coefficient of variation (CV)2.537671433
Kurtosis19.7757163
Mean0.9433962264
Median Absolute Deviation (MAD)0
Skewness4.149257696
Sum200
Variance5.731377984
MonotonicityNot monotonic
2022-05-10T19:48:35.337339image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0150
70.8%
122
 
10.4%
217
 
8.0%
39
 
4.2%
103
 
1.4%
43
 
1.4%
53
 
1.4%
152
 
0.9%
72
 
0.9%
161
 
0.5%
ValueCountFrequency (%)
0150
70.8%
122
 
10.4%
217
 
8.0%
39
 
4.2%
43
 
1.4%
53
 
1.4%
72
 
0.9%
103
 
1.4%
152
 
0.9%
161
 
0.5%
ValueCountFrequency (%)
161
 
0.5%
152
 
0.9%
103
 
1.4%
72
 
0.9%
53
 
1.4%
43
 
1.4%
39
 
4.2%
217
 
8.0%
122
 
10.4%
0150
70.8%

youtube_num
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5471698113
Minimum0
Maximum5
Zeros142
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:35.408340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9748697857
Coefficient of variation (CV)1.781658574
Kurtosis5.057750911
Mean0.5471698113
Median Absolute Deviation (MAD)0
Skewness2.190098674
Sum116
Variance0.950371099
MonotonicityNot monotonic
2022-05-10T19:48:35.477340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0142
67.0%
144
 
20.8%
212
 
5.7%
310
 
4.7%
52
 
0.9%
42
 
0.9%
ValueCountFrequency (%)
0142
67.0%
144
 
20.8%
212
 
5.7%
310
 
4.7%
42
 
0.9%
52
 
0.9%
ValueCountFrequency (%)
52
 
0.9%
42
 
0.9%
310
 
4.7%
212
 
5.7%
144
 
20.8%
0142
67.0%

youtube_view
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct41
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67676.15566
Minimum0
Maximum2599612
Zeros163
Zeros (%)76.9%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:35.557341image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile112287
Maximum2599612
Range2599612
Interquartile range (IQR)0

Descriptive statistics

Standard deviation336163.6994
Coefficient of variation (CV)4.967239881
Kurtosis33.68028608
Mean67676.15566
Median Absolute Deviation (MAD)0
Skewness5.714766598
Sum14347345
Variance1.130060328 × 1011
MonotonicityNot monotonic
2022-05-10T19:48:35.657950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0163
76.9%
76123
 
1.4%
6173
 
1.4%
346283
 
1.4%
27672
 
0.9%
14112
 
0.9%
12
 
0.9%
442161
 
0.5%
1791
 
0.5%
157691
 
0.5%
Other values (31)31
 
14.6%
ValueCountFrequency (%)
0163
76.9%
12
 
0.9%
411
 
0.5%
1791
 
0.5%
2711
 
0.5%
4781
 
0.5%
5611
 
0.5%
6173
 
1.4%
6871
 
0.5%
7461
 
0.5%
ValueCountFrequency (%)
25996121
0.5%
22087751
0.5%
21840851
0.5%
17083011
0.5%
15236381
0.5%
11476931
0.5%
8983871
0.5%
8583261
0.5%
4918241
0.5%
1749781
0.5%

youtube_like
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct37
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.0377358
Minimum0
Maximum4723
Zeros166
Zeros (%)78.3%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:35.748950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile237.35
Maximum4723
Range4723
Interquartile range (IQR)0

Descriptive statistics

Standard deviation485.8326789
Coefficient of variation (CV)4.85649415
Kurtosis54.16948348
Mean100.0377358
Median Absolute Deviation (MAD)0
Skewness6.954540163
Sum21208
Variance236033.3919
MonotonicityNot monotonic
2022-05-10T19:48:35.838949image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0166
78.3%
1803
 
1.4%
11023
 
1.4%
163
 
1.4%
452
 
0.9%
172
 
0.9%
812
 
0.9%
62
 
0.9%
47231
 
0.5%
1021
 
0.5%
Other values (27)27
 
12.7%
ValueCountFrequency (%)
0166
78.3%
41
 
0.5%
62
 
0.9%
71
 
0.5%
91
 
0.5%
111
 
0.5%
151
 
0.5%
163
 
1.4%
172
 
0.9%
191
 
0.5%
ValueCountFrequency (%)
47231
 
0.5%
32761
 
0.5%
31551
 
0.5%
13331
 
0.5%
12951
 
0.5%
11023
1.4%
8901
 
0.5%
8471
 
0.5%
2391
 
0.5%
2361
 
0.5%

youtube_comment
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct39
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.4245283
Minimum-1
Maximum1513
Zeros149
Zeros (%)70.3%
Negative1
Negative (%)0.5%
Memory size1.8 KiB
2022-05-10T19:48:35.927952image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q310
95-th percentile521.35
Maximum1513
Range1514
Interquartile range (IQR)10

Descriptive statistics

Standard deviation207.0191258
Coefficient of variation (CV)3.213358813
Kurtosis20.35909781
Mean64.4245283
Median Absolute Deviation (MAD)0
Skewness4.295751829
Sum13658
Variance42856.91845
MonotonicityNot monotonic
2022-05-10T19:48:36.017950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0149
70.3%
297
 
3.3%
125
 
2.4%
104
 
1.9%
613
 
1.4%
5453
 
1.4%
2563
 
1.4%
322
 
0.9%
9592
 
0.9%
32
 
0.9%
Other values (29)32
 
15.1%
ValueCountFrequency (%)
-11
 
0.5%
0149
70.3%
12
 
0.9%
32
 
0.9%
41
 
0.5%
51
 
0.5%
62
 
0.9%
104
 
1.9%
125
 
2.4%
151
 
0.5%
ValueCountFrequency (%)
15131
 
0.5%
11571
 
0.5%
10811
 
0.5%
9592
0.9%
7461
 
0.5%
6631
 
0.5%
5821
 
0.5%
5453
1.4%
5021
 
0.5%
3591
 
0.5%

youtube_p
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct26
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.358490566
Minimum0
Maximum48
Zeros156
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:36.104949image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile23
Maximum48
Range48
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.949710036
Coefficient of variation (CV)2.367048494
Kurtosis9.249616742
Mean3.358490566
Median Absolute Deviation (MAD)0
Skewness2.9505272
Sum712
Variance63.19788965
MonotonicityNot monotonic
2022-05-10T19:48:36.190951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0156
73.6%
17
 
3.3%
65
 
2.4%
104
 
1.9%
34
 
1.9%
44
 
1.9%
73
 
1.4%
113
 
1.4%
143
 
1.4%
233
 
1.4%
Other values (16)20
 
9.4%
ValueCountFrequency (%)
0156
73.6%
17
 
3.3%
21
 
0.5%
34
 
1.9%
44
 
1.9%
51
 
0.5%
65
 
2.4%
73
 
1.4%
81
 
0.5%
104
 
1.9%
ValueCountFrequency (%)
481
 
0.5%
401
 
0.5%
361
 
0.5%
301
 
0.5%
292
0.9%
281
 
0.5%
272
0.9%
233
1.4%
191
 
0.5%
182
0.9%

youtube_n
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct14
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.179245283
Minimum0
Maximum24
Zeros164
Zeros (%)77.4%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:36.265950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.9
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.411153075
Coefficient of variation (CV)2.892657808
Kurtosis19.52168919
Mean1.179245283
Median Absolute Deviation (MAD)0
Skewness4.126865389
Sum250
Variance11.6359653
MonotonicityNot monotonic
2022-05-10T19:48:36.340951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0164
77.4%
114
 
6.6%
29
 
4.2%
36
 
2.8%
64
 
1.9%
73
 
1.4%
103
 
1.4%
113
 
1.4%
241
 
0.5%
91
 
0.5%
Other values (4)4
 
1.9%
ValueCountFrequency (%)
0164
77.4%
114
 
6.6%
29
 
4.2%
36
 
2.8%
51
 
0.5%
64
 
1.9%
73
 
1.4%
91
 
0.5%
103
 
1.4%
113
 
1.4%
ValueCountFrequency (%)
241
 
0.5%
211
 
0.5%
201
 
0.5%
131
 
0.5%
113
1.4%
103
1.4%
91
 
0.5%
73
1.4%
64
1.9%
51
 
0.5%

amount
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct186
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1440448389
Minimum0
Maximum6216987023
Zeros27
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:36.428950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121862517.95
median1153341127
Q32501547537
95-th percentile4361422787
Maximum6216987023
Range6216987023
Interquartile range (IQR)2479685019

Descriptive statistics

Standard deviation1497101176
Coefficient of variation (CV)1.039329967
Kurtosis-0.1415254458
Mean1440448389
Median Absolute Deviation (MAD)1142487528
Skewness0.8398625929
Sum3.053750585 × 1011
Variance2.241311932 × 1018
MonotonicityNot monotonic
2022-05-10T19:48:36.529950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027
 
12.7%
26948854561
 
0.5%
31904567.031
 
0.5%
33513797.261
 
0.5%
26341590.061
 
0.5%
22570736.471
 
0.5%
29607350.91
 
0.5%
19342590.171
 
0.5%
23724669.921
 
0.5%
38241463.81
 
0.5%
Other values (176)176
83.0%
ValueCountFrequency (%)
027
12.7%
3005807.3791
 
0.5%
3946950.6771
 
0.5%
5515700.5621
 
0.5%
5950442.3931
 
0.5%
6051623.4711
 
0.5%
6239332.6841
 
0.5%
7063147.2091
 
0.5%
7066016.2531
 
0.5%
7571194.9541
 
0.5%
ValueCountFrequency (%)
62169870231
0.5%
53769725741
0.5%
52063893021
0.5%
50450149491
0.5%
50246107241
0.5%
49744735811
0.5%
48864435031
0.5%
48778544691
0.5%
48477596211
0.5%
47087058891
0.5%

volume
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct183
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52217.78679
Minimum0
Maximum201167.2
Zeros27
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-05-10T19:48:36.635950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1475.8
median24848.85
Q3111196.8
95-th percentile149750.25
Maximum201167.2
Range201167.2
Interquartile range (IQR)110721

Descriptive statistics

Standard deviation58123.20131
Coefficient of variation (CV)1.113092011
Kurtosis-1.144856411
Mean52217.78679
Median Absolute Deviation (MAD)24848.85
Skewness0.6644120598
Sum11070170.8
Variance3378306531
MonotonicityNot monotonic
2022-05-10T19:48:36.849950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027
 
12.7%
26163.82
 
0.9%
9232
 
0.9%
261.32
 
0.9%
847.61
 
0.5%
412.11
 
0.5%
627.91
 
0.5%
682.51
 
0.5%
471.91
 
0.5%
380.91
 
0.5%
Other values (173)173
81.6%
ValueCountFrequency (%)
027
12.7%
70.21
 
0.5%
911
 
0.5%
118.31
 
0.5%
133.91
 
0.5%
150.81
 
0.5%
157.31
 
0.5%
158.61
 
0.5%
172.91
 
0.5%
179.41
 
0.5%
ValueCountFrequency (%)
201167.21
0.5%
180074.71
0.5%
176168.21
0.5%
159143.41
0.5%
157452.11
0.5%
156617.51
0.5%
155789.41
0.5%
155021.11
0.5%
150732.41
0.5%
150705.11
0.5%

Interactions

2022-05-10T19:48:27.965378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:34.010492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:36.087070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:38.279150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:40.446311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:42.498398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:44.567487image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:46.733150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:48.913307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:51.037958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:53.132065image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:55.165753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:57.417689image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:59.936333image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:02.124608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:04.373202image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:06.421351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:08.549509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:10.674331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:12.942442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:15.052127image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:17.257269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:19.357421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:21.594445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:23.703568image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:25.798267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:28.047376image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:34.097489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:36.165070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:38.357149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:40.520312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:42.573401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:44.646489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:46.814151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:48.994309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:51.111957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:53.204065image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:55.240756image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:57.508204image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:00.010330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:02.200607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:04.445204image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:06.495351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:08.624508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:10.764330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:13.018441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:15.128129image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:17.331268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:19.435421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:21.667445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:23.779571image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:25.874268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:28.134375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:34.180490image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:36.250070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:38.442150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:40.602314image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:42.654400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:44.731487image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:46.900152image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:49.076306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:51.192958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:53.282063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:55.324753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:57.607207image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:00.097332image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:02.386609image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:04.527203image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:06.577350image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:08.705510image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:10.862330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:13.102442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:15.211127image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:17.413269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:19.523421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:21.748445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:23.862568image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:25.957271image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:28.220376image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:34.258491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:36.334071image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:38.525151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:40.680311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:42.732400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:44.814054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:46.984153image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:49.157306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:51.271957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:53.358063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:55.414753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:57.716205image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:00.274333image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:02.469610image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:04.606202image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:06.657353image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:08.783507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:10.954331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:13.184442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:15.296127image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:17.495270image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:19.608739image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:21.826445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:23.945569image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:26.037267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:28.301375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:34.332489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:36.412070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:38.602153image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:40.753317image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:42.805398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:44.891054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:47.063152image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:49.232307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:51.346957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:53.428162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:55.513690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:57.918203image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:00.342332image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:02.545607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:04.676201image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:06.728352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:08.859509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:11.041333image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:13.258442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:15.376127image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:17.568420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:19.687739image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:21.899445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:24.022568image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:26.111267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:28.385376image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:34.407491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:36.491073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:38.681149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:40.825311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:42.877398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:44.968056image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:47.141150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:49.308306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:51.420066image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:53.598165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:55.697691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:58.006205image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:00.413330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:02.621610image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:04.748783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:06.802350image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:08.930506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:11.127332image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:13.329441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:15.456132image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:17.644424image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:19.767324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:21.973449image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:24.098566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:26.187268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:28.474377image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:34.487493image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:36.576072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:38.763149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:40.903312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:42.955400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:45.049054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:47.224151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:49.388308image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:51.604067image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:53.675164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:55.781689image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:58.091203image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:00.488331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:02.700607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:04.825785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:06.882351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:09.009506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:11.219332image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:13.409443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:15.543269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:17.721421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:19.860322image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:22.052445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:24.178569image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:26.268268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:28.563377image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:34.566489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:36.660070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:38.848150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:40.982311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:43.035399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:45.131054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:47.306152image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:49.474394image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:51.684065image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:53.757165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:55.864688image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:58.179206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:00.589331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:02.784607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:04.904786image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:06.963352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:09.091507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:11.305334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:13.493443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:15.629269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:17.803421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:19.943323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:22.130445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:24.261567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:26.349267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:28.650377image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:34.643490image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:36.743072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:38.929149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:41.059311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:43.113398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:45.212054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:47.388307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:49.653395image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:51.761064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:53.830162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:55.946688image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:58.294206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:00.677332image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:02.864608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:04.983783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:07.046351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:09.174509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:11.389332image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:13.572548image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:15.710268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:17.886420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:20.027323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:22.207446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:24.342567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:26.431268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:28.740380image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:34.720490image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:36.823070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:39.011149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:41.134311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:43.188398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:45.291054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:47.465306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:49.730395image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:51.836065image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:53.904164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:56.026690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:58.439371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:00.768334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:02.944609image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:05.055784image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:07.128352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:09.253507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:11.472337image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:13.654544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:15.788270image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:17.962420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:20.116323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:22.286445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:24.419567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:26.510267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:28.825381image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:34.790215image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:36.897070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:39.084149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:41.204311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:43.260398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:45.364056image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:47.642306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:49.802961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:51.907065image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:53.974162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:56.100688image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:58.521498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:00.854332image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:03.018610image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:05.124784image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:07.199353image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:09.324507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:11.549441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:13.727545image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:15.861272image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:18.035420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:20.195324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:22.357447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:24.490571image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:26.582267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:28.913377image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:34.866062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:36.977070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:39.164149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:41.278312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:43.336400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:45.442151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:47.720309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:49.878957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:51.983066image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:54.049162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:56.178692image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:58.601496image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:00.942331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:03.101607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:05.196785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:07.279351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:09.398506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:11.628440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:13.805545image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:15.938269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:18.111420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:20.281323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:22.432445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:24.567566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:26.660267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:29.001377image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:34.943062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:37.058072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:39.243150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:41.352390image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:43.412487image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:45.626151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:47.798306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:49.957960image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:52.060064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:54.124163image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:56.256691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:58.685498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:01.024331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:03.179608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:05.273783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:07.363352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:09.475510image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:11.707441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:13.881542image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:16.015268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:18.187420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:20.363324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:22.510445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:24.645567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:26.740271image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:29.098375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:35.016062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:37.138070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:39.318150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:41.425398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:43.583490image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:45.699152image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:47.878307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:50.031958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:52.136064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:54.198162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:56.331689image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:58.768454image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:01.098333image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:03.254612image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:05.346784image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:07.438354image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:09.551670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:11.783440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:13.954543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:16.091272image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:18.260422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:20.441324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:22.585445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:24.718567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:26.815268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:29.337378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:35.094064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:37.220071image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:39.399676image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:41.602402image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:43.659487image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:45.781151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:47.959306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:50.110957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:52.215064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:54.273164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:56.414689image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:58.856452image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:01.178331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:03.333607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:05.423785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:07.521508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:09.629669image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:11.865442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:14.033544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:16.169268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:18.339422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:20.525325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:22.666445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:24.797156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:26.895267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:29.420382image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:35.165061image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:37.297070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:39.574676image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:41.670399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:43.730488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:45.855151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:48.032306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:50.183957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:52.286063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:54.343162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:56.487693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:58.944450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:01.255334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:03.405608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:05.491300image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:07.592506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:09.697670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:11.941441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:14.113542image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:16.243268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:18.411420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:20.600322image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:22.737445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:24.868156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:26.968268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:29.510377image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:35.238061image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:37.376149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:39.649673image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:41.745399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:43.804487image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:45.930151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:48.108306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:50.258957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:52.359063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:54.414164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:56.562690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:59.036452image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:01.337331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:03.481195image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:05.565352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:07.665510image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:09.772265image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:12.019440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:14.187542image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:16.321269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:18.484421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:20.679322image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:22.813447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:24.942156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:27.148267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:29.604378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:35.310063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:37.552151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:39.726674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:41.816401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:43.876488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:46.008151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:48.184308image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:50.332958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:52.431064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:54.487168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:56.639688image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:59.115449image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:01.409331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:03.557201image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:05.639351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:07.741506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:09.850264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:12.099442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:14.260542image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:16.399269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:18.557421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:20.757323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:22.891447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:25.113157image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:27.222268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:29.711246image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:35.391069image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:37.634149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:39.809311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:41.896398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:43.958487image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:46.092151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:48.267305image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:50.413958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:52.513064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:54.570165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:56.721691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:59.196449image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:01.490610image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:03.640202image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:05.718352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:07.821508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:09.936264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:12.186441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:14.341544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:16.481268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:18.640421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:20.844325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:23.076448image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:25.193158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:27.310272image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:29.804815image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:35.552073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:37.713151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:39.886312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:41.969399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:44.034487image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:46.172156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:48.346307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:50.489958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:52.588064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:54.645164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:56.798689image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:59.272450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:01.567610image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:03.715203image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:05.791350image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:07.896507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:10.009262image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:12.266440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:14.415543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:16.558270image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:18.714420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:21.029323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:23.151447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:25.264158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:27.387268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:29.898815image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:35.629070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:37.793150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:39.966311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:42.044398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:44.109487image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:46.250151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:48.425306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:50.566958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:52.664063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:54.721165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:56.881689image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:59.354451image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:01.647608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:03.793201image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:05.865352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:07.982506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:10.084262image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:12.347441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:14.493543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:16.761271image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:18.889422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:21.108325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:23.231445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:25.339161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:27.471270image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:29.982816image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:35.700069image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:37.870152image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:40.041311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:42.113398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:44.180486image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:46.325150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:48.501306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:50.640957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:52.737067image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:54.792754image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:56.956689image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:59.430451image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:01.721611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:03.868201image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:05.936351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:08.058510image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:10.155263image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:12.425441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:14.664542image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:16.838269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:18.961421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:21.183323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:23.305445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:25.410158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:27.549267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:30.075818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:35.780072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:37.953150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:40.125312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:42.193398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:44.261487image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:46.409150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:48.587307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:50.722960image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:52.818064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:54.868753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:57.042690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:59.513714image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:01.809607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:03.949203image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:06.015353image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:08.136506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:10.232261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:12.611440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:14.743544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:16.922269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:19.043422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:21.268325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:23.387445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:25.491158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:27.637376image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:30.162814image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:35.852072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:38.032149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:40.203312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:42.266398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:44.334487image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:46.487153image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:48.667306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:50.799958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:52.892066image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:54.939754image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:57.120690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:59.591235image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:01.883607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:04.025202image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:06.090352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:08.211506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:10.306263image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:12.688441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:14.818127image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:17.005269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:19.121420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:21.346323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:23.462447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:25.565157image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:27.717375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:30.248816image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:35.926069image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:38.110150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:40.280311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:42.340398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:44.409488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:46.564151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:48.744305image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:50.875958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:52.967063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:55.010754image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:57.210689image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:59.681754image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:01.959608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:04.102201image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:06.162352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:08.288512image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:10.500264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:12.769442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:14.892127image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:17.088269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:19.194422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:21.425325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:23.541449image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:25.638267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:27.794375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:30.337817image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:36.004070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:38.192150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:40.361311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:42.415399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:44.485488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:46.645151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:48.826307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:50.953958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:53.046063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:55.085754image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:57.302690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:47:59.794334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:02.041607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:04.185201image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:06.240351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:08.466509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:10.585261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:12.855444image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:14.970319image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:17.170269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:19.274420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:21.508325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:23.619569image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:25.716266image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-10T19:48:27.877377image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Correlations

2022-05-10T19:48:36.979949image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-10T19:48:37.193951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-10T19:48:37.407951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-10T19:48:37.584950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2022-05-10T19:48:37.706427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-05-10T19:48:30.567815image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
A simple visualization of nullity by column.
2022-05-10T19:48:31.142817image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

df_indexproductdatetotaltweeterblogcommunityinstagramnewsp_10n_10p_23n_23p_34n_34p_45n_45p_60n_60p_mn_mp_fn_fyoutube_numyoutube_viewyoutube_likeyoutube_commentyoutube_pyoutube_namountvolume
00아로나민골드2018-01-011744028178900010930000104200000002.694885e+09107597.1
11아로나민골드2018-02-011772419359900032127000014702200502532.574093e+09111208.5
22아로나민골드2018-03-01306102284311419225639800003749101001003.326711e+09139370.4
33아로나민골드2018-04-01295823242128110044161700001416340000003.607714e+09150705.1
44아로나민골드2018-05-0123232293813120010000000199120000003.625640e+09155021.1
55아로나민골드2018-06-01209302930119100001290000128010000003.257992e+09137412.6
66아로나민골드2018-07-0120930293011910016181421001316240000003.260588e+09140682.1
77아로나민골드2018-08-012313130341306006214174200171335200164412.850388e+09135376.8
88아로나민골드2018-09-0122532273612730004692200512121002491962.894234e+09176168.2
99아로나민골드2018-10-0118435273290000030020003091010064402.993981e+09141237.2

Last rows

df_indexproductdatetotaltweeterblogcommunityinstagramnewsp_10n_10p_23n_23p_34n_34p_45n_45p_60n_60p_mn_mp_fn_fyoutube_numyoutube_viewyoutube_likeyoutube_commentyoutube_pyoutube_namountvolume
20243비맥스메타2021-08-017963042100000215000022312119332112132.910951e+0994243.5
20344비맥스메타2021-09-01117645613200005130000001010000003.295232e+09107573.7
20445비맥스메타2021-10-018163540000000000000272000000002.599142e+0984282.9
20546비맥스메타2021-11-01987325441001045110000298120000002.335186e+0975909.6
20647비맥스메타2021-12-01935315421000000000000000000002.291771e+0974911.2
20748비맥스메타2022-01-018833041212003221251000002310000000002.013389e+0966067.3
20849비맥스메타2022-02-0178627423000001402000130000000001.861340e+0961470.5
20950비맥스메타2022-03-01816363540000021836002314000000000.000000e+000.0
21051비맥스메타2022-04-0186440374100001350000127000000000.000000e+000.0
21152비맥스메타2022-05-01714200000010000010000000000.000000e+000.0

Duplicate rows

Most frequently occurring

df_indexproductdatetotaltweeterblogcommunityinstagramnewsp_10n_10p_23n_23p_34n_34p_45n_45p_60n_60p_mn_mp_fn_fyoutube_numyoutube_viewyoutube_likeyoutube_commentyoutube_pyoutube_namountvolume# duplicates
050벤포벨2022-03-012111126000000141800001420000000000.00.02
151벤포벨2022-04-01611025411800000261100002912110000000.00.02
252벤포벨2022-05-0190526000000000000000000000000.00.02